Education informatization is a major development trend of all kinds of education today. To solve the above problems, this paper obtained the Educational Management (EM) evaluation on the basis of a questionnaire survey of a university, and then used the principal component analysis method to successfully transform the seven principal components into four comprehensive indicators on the premise of retaining a large amount of original information. In the further research, these four principal components were used as the input vectors of the EM evaluation model based on the error back propagation neural network (back propagation neural network, hereinafter referred to as BP), and it was concluded that the function of the EM evaluation model based on BP neural network was excellent. The BP neural network algorithm was compared with the Invertible Neural Network (INN) algorithm, and it was found that the former was far superior to the INN algorithm. When the number of neurons in the hidden layer was 25, the accuracy of BP neural network algorithm reached 84.2% when the calculation time was 0.7s.
